Total least squares with application in geospatial data proc…
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- DOI 10.1109/geoinformatics.2011.5980717
- OpenAlex ID W2132189821
- Type Conference-paper
- Language EN
- Published 01 Jun 2011
- Pages 1–3
- Source International Conference on Geoinformati…
- Countries 1
- Institutions 1
- Added 24 Jun 2016
- Updated 16 Oct 2026
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Total least squares with application in geospatial data processing
Conference-paper 2011 EN
The measurements in geospatial surveys always contain random errors. In this paper, the Total Least Squares (TLS) method, which accounts for the errors both in the observation vector and design matrix, is applied in the triangulation geospatial surveying adjustment. Two frequently used TLS algorithms, which are the singular value decomposition (SVD) based TLS algorithm and the iterative TLS algori…
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3 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Yanmin Jin | Tongji University (CN) | |
| 2 | Xiaohua Tong | Tongji University (CN) | |
| 3 | Lingyun Li | Tongji University (CN) |
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